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275 articles for “predictive modeling”
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Novel Approaches to Thermodynamic Optimization in Industrial Processes
Abstract: Thermodynamic optimization in industrial processes stands as a pivotal pursuit in enhancing efficiency, sustainability, and economic viability. Traditional methodologies have primarily focused on established principles, yet the escalating demands for resource conservation and emissions reduction necessitate innovative strategies. This abstract presents a compendium of novel approaches aimed at revolutionizing thermodynamic optimization in industrial settings. Firstly, the incorporation of advanced machine learning algorithms unveils unprecedented opportunities for predictive modeling and real-time …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 9, Issue 2, 2023 · pp. 20–25 Read article
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Implementation of Airport Construction Management
Abstract: In this article, Micro PAVER is used to analyze present condition of Neil Armstrong airport facilities. It also predicts the future condition and develop ways for pavement maintenance based on available funds and conditions. The airport infrastructure system is divided into several networks, branches, sections, sample units and the types, severity of distresses are identified for those units. Weather, traffic and maintenance are considered to develop prediction model for pavement …
Published in International Journal of Construction Engineering and Planning · Vol. 5, Issue 2, 2019 · pp. 64–75 Read article
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Flood Hazard Analysis on Dulecha Woreda Located in Middle Awash River Basin
Abstract: Flood is a natural disaster and causes loss of life and property damage. Awash River is causing damage of farm land and other properties at Dulecha Woreda as it is located at flood plain area. The objective of the study is to analyze flood hazard of Dulecha Woreda located in Middle Awash River Basin. The hydrological modeling in combination with hydraulic modeling is used for this study. The HEC-HMS model …
Published in International Journal of Water Resources Engineering · Vol. 6, Issue 1, 2020 · pp. 47–66 Read article
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An In-depth Exploration: Unveiling the Computational Resources Utilized in Cancer Research
Abstract: It is a major challenge leading to mass morbidity and mortality in cancer, despite the efforts and clinical trials in the past. Cancer is a very crucial field of research that directly concerns human life that requires early identification, diagnosis, prognosis, and therapeutics. The resources and web servers play very important roles in cancer genomics and medical image analysis. Computational intelligence (is a set of computational methodologies involving design, application, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 10–20 Read article
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Modeling of Material Removal Rate in Micro EDM Using Neural Network
Abstract: In micro-electrical discharge machining (Micro EDM) machining, material removal rate (MRR) is the particular main output parameter. Here we will discover various machining parameters get an effect on the particular MRR. For production industries, to maximize the results from Micro EDM, appropriate predictive designs for MRR must end up being constructed. This particular report utilizes neural network modeling to predict MRR over the particular machining time for assortment of cutting …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 4, Issue 1, 2018 · pp. 30–39 Read article
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Nonlinear Finite Element Approaches for Structural Failure Prediction: A Comparative Assessment with Case Studies
Abstract: Abstract Nonlinear finite element methods (NLFEM) have become indispensable for predicting structural failure in complex engineering systems, particularly where linear models fail to capture critical behaviors, such as large deformations, crack propagation, and post-buckling responses. This study investigates and compares several state-of-the-art NLFEM techniques – namely cohesive zone modeling (CZM), extended finite element method (XFEM), and phase-field fracture modelling – in the context of structural failure prediction. Three representative case …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 1, 2025 · pp. 1–5 Read article
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Kinetic Model for Production of Carbon(iv)oxide (CO2) from Brewers Spent Grain Using Anaerobic Digester
Abstract: In this research paper, investigation studies were carried out to determine which model best predicts the amount of using the linear, power, growth rate decay, and non-elementary rate models, the kinetics of the biogas produced under the impact of biodegradation were explored. Carbon(iv)oxide was produced as a fraction of the biogas acquired from the experimental conditions. Either of the linear, power, growth rate decay, and non-elementary rate models can be …
Published in International Journal of Energetic Materials · Vol. 10, Issue 1, 2024 · pp. 17–31 Read article
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Smart Wastewater Treatment Plant Modeling Using ANN And ASM1 MATLAB Simulation
Abstract: Wastewater Treatment Plants (WWTPs) are necessary infrastructure for protecting the environment and public health, but modeling and predicting performance has been an ongoing challenge for engineers working within a WWTP and regulators of the environment. For many years the Activated Sludge Model No. 1 (ASM1) has been the standard for simulating biological treatment processes, but the conventional implementations in MATLAB do not provide the user-friendly interface, the predictive intelligence, or …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 2, 2026 · pp. 44–62 Read article
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Unlocking the Potential: Machine Learning Driven Explainable AI Applications Across Diverse Domains
Abstract: Explainable artificial intelligence (XAI) aims to make discoveries and output generated by machine learning algorithms accessible to human users in a trustworthy and easy-to-understand manner. It describes the impact of an AI model and any potential biases, helping in characterizing models with accuracy, fairness, transparency, and outcomes in decision-making powered by AI. XAI focuses on understanding the data used to train the model, its predictions, the specific elements involved in …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 24–32 Read article
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Predicting Water Distribution Pipe Thermal Abnormalities Caused by Wildfire
Abstract: The paper covers the temperature thermal control of the water distribution system by predicting the temperature exceeding the safe level at pipes' locations and shutting off the water access to the main distribution pipe. The advantages of predictive thermal control over setting the maximum allowed temperature are provided. The prediction uses a transient heat conduction model with an error function approximation for arbitrary distance from the surface. It is provided …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 2, 2025 · pp. 89–97 Read article
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Prediction of Compressive strength of Periwinkle Shell Aggregate Concrete Using a Quadratic Polynomial Function
Abstract: In this study, a mathematical model is developed to predict the compressive strength of normal concrete made with periwinkle shell as coarse aggregate using a quadratic polynomial function. The response function is expressed as a multivariable function of the proportions of the component materials (water, ordinary Portland cement, sand and periwinkle shell). A total of thirty experimental runs were used to demonstrate the applicability of the mathematical model developed. The …
Published in International Journal of Concrete Technology · Vol. 6, Issue 2, 2020 · pp. 10–21 Read article
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Empirical Modelling of Metal Corrosion in Loamy Soil and Saltwater Environment
Abstract: The corrosion rate of metal in loamy soil and saltwater environment was monitored, predicted, and simulated using empirical modeling. The metal under investigation is carbon steel, which is found in a loamy soil and saltwater environments. The carbon steel sample immersed in a saltwater medium exhibited a higher corrosion rate compared to the loamy soil sample. The rise in corrosion of carbon steel can be attributed to the physiochemical characteristics …
Published in International Journal of Metallurgy and Alloys · Vol. 9, Issue 1, 2023 · pp. 20–34 Read article
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Evaluation of the Flow Properties of Self-Compacting Fly-ash Concrete Using Artificial Neural Network
Abstract: The purpose of this study is to examine the feasibility of using artificial neural network programming for the calculation of the fresh properties of self-compacting concrete. The input parameters of the neural network were the mix composition influencing the fresh properties of self-compacting concrete namely; the cement content, the dosages of fly-ash, water, fine aggregate, coarse aggregate, and superplasticizer. The model is founded on a multilayer feed forward neural network. …
Published in International Journal of Structural Engineering and Analysis · Vol. 7, Issue 2, 2021 · pp. 35–40 Read article
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Prediction of Shear Strength Parameters Using Multiple Regression Analysis
Abstract: Shear strength is a principal engineering property of soil. It controls the stability of a soil mass under structural loads and is used in design of foundation. In this study, a survey was carried out in and around the Bhauti region of Kanpur district, Uttar Pradesh and accordingly nine sampling locations was identified. All the samples were collected from a depth of 50 cm and analyzed for different geotechnical properties …
Published in International Journal of Landscape Planning and Architecture · Vol. 5, Issue 2, 2019 · pp. 26–39 Read article
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Predictive Evaluation of Erema Community Groundwater in Egi for the Purpose of Agricultural Use
Abstract: The investigation in this research is to study the developed sodium absorption ratio model for predicting and monitoring SAR concentration of Erema community groundwater by Ukpaka, 2016 given as, SAR = – + with coefficient of determination of that is modified in this research as + = 0 which is now the modified differential equation of sodium absorption ratio for Erema community it fitness in assessing SAR concentration. Validation of …
Published in International Journal of Water Resources Engineering · Vol. 3, Issue 2, 2017 · pp. 91–96 Read article
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Entropy-Based Damage Accumulation in Tribological Systems: A Comprehensive Review
Abstract: This paper reviews classical wear models and entropy-based degradation approaches used for predicting failure in tribological systems. Various wear models, thermodynamic frameworks, and applications of the Degradation Entropy Generation (DEG) theorem are discussed. Friction, which is the primary source of heat generation in tribological contacts, is responsible for material degradation through a variety of irreversible processes. While classical wear approaches have been widely used for wear prediction and life estimation, …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 1, 2026 · pp. 1–12 Read article
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Prediction and Assessment of Lateral Displacement of Rock Mass Along the Length of the Horseshoe Cavern – A Numerical Modelling Approach
Abstract: The stability of the underground structures is a key to successful underground mining. Caverns are large underground openings constructed in rock mass for a variety of purposes. The properties of intact rock mass are generally overshadowed by the properties of discontinuities, if the discontinuities are present. Mechanisms of deformation and failure of underground openings in jointed rock mass are determined by the characteristics of the geometrical distribution of discontinuities. This …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 3, Issue 1, 2017 · pp. 17–28 Read article
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Modelling and Simulation of a Bio-Fermenter for Ethanol Production
Abstract: Industrialization and world population are continuously increasing and this demands high energy. Ethanol is one of the leading bio-fuel in recent years. In this research, mathematical models were developed to monitor, predict and simulate the rate of production of ethanol from the fermentation process of corn. Increase in the ethanol production was observed within the range of 0 >D_S≤0.25 of solvent dilution rate with the optimum value of ethanol concentration …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 7, Issue 1, 2021 · pp. 39–50 Read article
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Intelligent Data Analytics on Cloud Infrastructure:Real-Time Insights and Managed Service Models
Abstract: This paper examines the integration of advanced data analytics and machine learning within modern cloud infrastructure, highlighting how organizations can transform large volumes of unstructured data into actionable business insights that drive competitive advantage. Cloud platforms leverage scalability and elasticity to efficiently process and analyze massive datasets in real time, allowing enterprises to identify hidden patterns, detect operational anomalies early, and generate accurate forecasts of future outcomes. A key factor …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 36–46 Read article
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Development of a Rutting Model for Bituminous Mixes Using Experimental Data
Abstract: In recent years, the amount and severity of rutting on bituminous pavements in India has been increasing due to the ever increasing traffic volumes, overloading and the high summer temperatures. Extensive research work has been directed throughout the years for creating models to predict the advancement of rutting in bituminous mixes and pavements, yet with restricted achievement. The laboratory rutting tests were conducted on bituminous mixes prepared with various aggregate …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 5, Issue 2, 2019 · pp. 1–5 Read article